What is statistical inference?

Statistical inference is the process whereby you can draw conclusions about a population based on random samples of that population and the statistics that you draw from those samples. When you rely on statistical inference, you take what you've observed about your samples of that population and apply them to the group as a whole. Applying statistical inference allows you to take what you know about the population as well as what's uncertain to make statements about the entire population based on your analysis.

Why is it important to learn about statistical inference?

If you want to learn about a certain population—whether they're customers or fellow employees—you can use statistical inference to draw conclusions about that population based on your analysis of data about them. You can't always survey or test an entire population to gain insight, but you can sample the population and make educated assumptions based on the data. Understanding statistical inference allows you to take that data and use it to draw conclusions that make sense and prove true.

How can I apply statistical inference in my career?

Statistical inference has plenty of benefits for different business sectors. Statisticians and data analysts use this method often to draw conclusions based on samples of populations. If you're in sales or product development, you can use statistical inference to determine which brands or products are popular with your customers or clients. Scientists use statistical inference to test hypotheses and draw conclusions when it's impossible for them to test or sample an entire population. You can apply statistical inference to analyze the data from surveys of any population that you sample.

How can online courses on Coursera help me learn about statistical inference?

Online courses on Coursera give you both a grasp of the concepts of statistical inference and practical applications. You'll learn from the best instructors in the academic world, and you can learn at a pace and schedule that best suits your schedule and lifestyle. When you finish our courses, you'll know how to use statistical inference in your career, which will give you an advantage whether you're trying to get better at your current job or whether you're looking to make a career change.

What are the benefits of taking an online Statistical Inference course?

Online Statistical Inference courses offer a convenient and flexible way to enhance your knowledge or learn new Statistical Inference skills. Choose from a wide range of Statistical Inference courses offered by top universities and industry leaders tailored to various skill levels.

What Statistical Inference courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Statistical Inference, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Statistical Inference Courses - Learn Statistical Inference Online

Explore the Statistical Inference Course Catalog

Johns Hopkins University
Securing AI and Advanced Topics
Skills you'll gain: Generative AI, Feature Engineering, Cybersecurity, Threat Modeling, Security Engineering, Deep Learning, Anomaly Detection, Artificial Intelligence, Artificial Neural Networks, Data Processing, Applied Machine Learning, Reinforcement Learning, Data Modeling, Machine Learning, Performance Tuning
4.3
Rating, 4.3 out of 5 stars
6 reviews
Intermediate · Course · 1 - 3 Months
Packt
Foundations of R Programming and Basic Data Manipulation
Skills you'll gain: Rmarkdown, Data Import/Export, R Programming, Data Manipulation, Data Visualization, Web Scraping, Ggplot2, Plotly, Programming Principles, Data Visualization Software, Data Wrangling, Data Cleansing, Statistical Programming, Data Transformation, Data Structures, Scripting Languages, Scripting, Development Environment, Leaflet (Software)
Beginner · Course · 1 - 3 Months
Icahn School of Medicine at Mount Sinai
Systems Biology and Biotechnology Capstone
Skills you'll gain: Data Synthesis, Network Analysis, Data Integration, Statistical Analysis, Life Sciences, Bioinformatics, Systems Integration, Systems Analysis, Simulations, Computational Thinking, Predictive Modeling
4.5
Rating, 4.5 out of 5 stars
12 reviews
Mixed · Course · 1 - 4 Weeks
Fractal Analytics
Introduction to Vertex AI
Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Artificial Intelligence, Machine Learning, Cloud Platforms, Cloud Computing
4.9
Rating, 4.9 out of 5 stars
7 reviews
Beginner · Course · 1 - 4 Weeks
Northeastern University
Practical AI for Professionals
Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Business Strategy, Business Solutions, Machine Learning, Data Management, Computer Vision, Unstructured Data, Predictive Modeling, Deep Learning, Natural Language Processing
Beginner · Course · 1 - 4 Weeks
Status: Free
DeepLearning.AI
Quantization in Depth
Skills you'll gain: PyTorch (Machine Learning Library), Quantitative Research, Numerical Analysis, Open Source Technology
Intermediate · Project · Less Than 2 Hours
Status: Free
Amazon Web Services
Responsible AI Practices
Skills you'll gain: Human Centered Design, Data Ethics, Human Computer Interaction, Artificial Intelligence, AWS SageMaker, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
3.7
Rating, 3.7 out of 5 stars
19 reviews
Beginner · Course · 1 - 4 Weeks
American Psychological Association
Measures of Correlation and Contingency
Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Software, Statistical Analysis, Statistical Methods, Probability & Statistics, Quantitative Research, Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Supervised Text Classification for Marketing Analytics
Skills you'll gain: Supervised Learning, Marketing Analytics, Machine Learning, Deep Learning, Tensorflow, Scikit Learn (Machine Learning Library), Python Programming, Marketing, Natural Language Processing, Google Cloud Platform, Data Processing, Artificial Neural Networks, Text Mining, Performance Metric
Build toward a degree
3.1
Rating, 3.1 out of 5 stars
14 reviews
Beginner · Course · 1 - 4 Weeks
Google Cloud
Launching into Machine Learning en Français
Skills you'll gain: Exploratory Data Analysis, Data Analysis, Applied Machine Learning, Data Quality, Data Cleansing, Machine Learning, Supervised Learning, Unsupervised Learning, Performance Testing, Google Cloud Platform, Regression Analysis, Big Data, Sampling (Statistics), Performance Tuning
4.5
Rating, 4.5 out of 5 stars
11 reviews
Beginner · Course · 1 - 3 Months
Status: Free
Ball State University
Data Visualization
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Data Visualization Software, Ggplot2, Interactive Data Visualization, Statistical Visualization, Visualization (Computer Graphics), R Programming, Data Storytelling, Histogram, Scatter Plots, Data Analysis
Build toward a degree
Intermediate · Course · 1 - 3 Months
The Hong Kong University of Science and Technology
Search Engines for Web and Enterprise Data
Skills you'll gain: Web Analytics and SEO, Semantic Web, Algorithms, Analytics, Text Mining, Information Architecture, Natural Language Processing, User Research, Data Structures, Applied Machine Learning, Statistical Methods
5
Rating, 5 out of 5 stars
7 reviews
Intermediate · Course · 3 - 6 Months